Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 916 |
| Missing cells | 2 |
| Missing cells (%) | < 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 365.4 KiB |
| Average record size in memory | 408.5 B |
Variable types
| Numeric | 6 |
|---|---|
| Categorical | 2 |
| Text | 3 |
4s is highly overall correlated with Balls and 1 other fields | High correlation |
6s is highly overall correlated with Runs | High correlation |
Balls is highly overall correlated with 4s and 1 other fields | High correlation |
Match_Between is highly overall correlated with Match_no and 1 other fields | High correlation |
Match_no is highly overall correlated with Match_Between | High correlation |
Runs is highly overall correlated with 4s and 2 other fields | High correlation |
Team_Innings is highly overall correlated with Match_Between | High correlation |
Runs has 83 (9.1%) zeros | Zeros |
4s has 287 (31.3%) zeros | Zeros |
6s has 616 (67.2%) zeros | Zeros |
Reproduction
| Analysis started | 2024-11-04 11:05:17.049834 |
|---|---|
| Analysis finished | 2024-11-04 11:05:27.084897 |
| Duration | 10.04 seconds |
| Software version | ydata-profiling vv4.10.0 |
| Download configuration | config.json |
Match_no
Real number (ℝ)
HIGH CORRELATION
| Distinct | 48 |
|---|---|
| Distinct (%) | 5.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24.669214 |
| Minimum | 1 |
|---|---|
| Maximum | 48 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 12 |
| median | 25 |
| Q3 | 37 |
| 95-th percentile | 47 |
| Maximum | 48 |
| Range | 47 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 14.042355 |
|---|---|
| Coefficient of variation (CV) | 0.56922587 |
| Kurtosis | -1.2267707 |
| Mean | 24.669214 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0.034900774 |
| Sum | 22597 |
| Variance | 197.18773 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=48)
| Value | Count | Frequency (%) |
| 47 | 40 | 4.4% |
| 10 | 40 | 4.4% |
| 2 | 22 | 2.4% |
| 7 | 22 | 2.4% |
| 13 | 22 | 2.4% |
| 26 | 22 | 2.4% |
| 28 | 22 | 2.4% |
| 18 | 22 | 2.4% |
| 27 | 22 | 2.4% |
| 36 | 22 | 2.4% |
| Other values (38) | 660 |
| Value | Count | Frequency (%) |
| 1 | 14 | 1.5% |
| 2 | 22 | |
| 3 | 17 | |
| 4 | 18 | |
| 5 | 17 | |
| 6 | 20 | |
| 7 | 22 | |
| 8 | 16 | 1.7% |
| 9 | 14 | 1.5% |
| 10 | 40 |
| Value | Count | Frequency (%) |
| 48 | 17 | |
| 47 | 40 | |
| 46 | 17 | |
| 45 | 17 | |
| 44 | 22 | |
| 43 | 14 | 1.5% |
| 42 | 18 | |
| 41 | 18 | |
| 40 | 22 | |
| 39 | 16 | 1.7% |
Match_Between
Categorical
HIGH CORRELATION
| Distinct | 47 |
|---|---|
| Distinct (%) | 5.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.4 KiB |
| South Africa vs Australia | |
|---|---|
| England vs Bangladesh | 22 |
| Pakistan vs Netherlands | 22 |
| Afghanistan vs England | 22 |
| Pakistan vs South Africa | 22 |
| Other values (42) |
Length
| Max length | 27 |
|---|---|
| Median length | 24 |
| Mean length | 22.629913 |
| Min length | 16 |
Characters and Unicode
| Total characters | 20729 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | England vs New Zealand |
|---|---|
| 2nd row | England vs New Zealand |
| 3rd row | England vs New Zealand |
| 4th row | England vs New Zealand |
| 5th row | England vs New Zealand |
Common Values
| Value | Count | Frequency (%) |
| South Africa vs Australia | 80 | 8.7% |
| England vs Bangladesh | 22 | 2.4% |
| Pakistan vs Netherlands | 22 | 2.4% |
| Afghanistan vs England | 22 | 2.4% |
| Pakistan vs South Africa | 22 | 2.4% |
| Netherlands vs Bangladesh | 22 | 2.4% |
| Australia vs Pakistan | 22 | 2.4% |
| Australia vs New Zealand | 22 | 2.4% |
| Australia vs England | 22 | 2.4% |
| England vs Pakistan | 22 | 2.4% |
| Other values (37) | 638 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| vs | 916 | |
| australia | 249 | 7.5% |
| africa | 232 | 7.0% |
| south | 232 | 7.0% |
| india | 191 | 5.8% |
| england | 180 | 5.4% |
| netherlands | 179 | 5.4% |
| zealand | 173 | 5.2% |
| new | 173 | 5.2% |
| bangladesh | 160 | 4.8% |
| Other values (4) | 627 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2882 | |
| 2396 | 11.6% | |
| s | 1813 | 8.7% |
| n | 1681 | 8.1% |
| i | 1140 | 5.5% |
| t | 969 | 4.7% |
| l | 941 | 4.5% |
| v | 916 | 4.4% |
| d | 883 | 4.3% |
| e | 864 | 4.2% |
| Other values (18) | 6244 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 20729 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 2882 | |
| 2396 | 11.6% | |
| s | 1813 | 8.7% |
| n | 1681 | 8.1% |
| i | 1140 | 5.5% |
| t | 969 | 4.7% |
| l | 941 | 4.5% |
| v | 916 | 4.4% |
| d | 883 | 4.3% |
| e | 864 | 4.2% |
| Other values (18) | 6244 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 20729 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 2882 | |
| 2396 | 11.6% | |
| s | 1813 | 8.7% |
| n | 1681 | 8.1% |
| i | 1140 | 5.5% |
| t | 969 | 4.7% |
| l | 941 | 4.5% |
| v | 916 | 4.4% |
| d | 883 | 4.3% |
| e | 864 | 4.2% |
| Other values (18) | 6244 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 20729 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 2882 | |
| 2396 | 11.6% | |
| s | 1813 | 8.7% |
| n | 1681 | 8.1% |
| i | 1140 | 5.5% |
| t | 969 | 4.7% |
| l | 941 | 4.5% |
| v | 916 | 4.4% |
| d | 883 | 4.3% |
| e | 864 | 4.2% |
| Other values (18) | 6244 |
Team_Innings
Categorical
HIGH CORRELATION
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 59.5 KiB |
| Australia | |
|---|---|
| South Africa | |
| England | |
| Netherlands | |
| Bangladesh | |
| Other values (5) |
Length
| Max length | 12 |
|---|---|
| Median length | 11 |
| Mean length | 9.3799127 |
| Min length | 5 |
Characters and Unicode
| Total characters | 8592 |
|---|---|
| Distinct characters | 27 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | England |
|---|---|
| 2nd row | England |
| 3rd row | England |
| 4th row | England |
| 5th row | England |
Common Values
| Value | Count | Frequency (%) |
| Australia | 120 | |
| South Africa | 109 | |
| England | 99 | |
| Netherlands | 98 | |
| Bangladesh | 90 | |
| Sri Lanka | 87 | |
| New Zealand | 84 | |
| Pakistan | 77 | |
| India | 77 | |
| Afghanistan | 75 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| australia | 120 | |
| south | 109 | |
| africa | 109 | |
| england | 99 | |
| netherlands | 98 | |
| bangladesh | 90 | 7.5% |
| sri | 87 | 7.3% |
| lanka | 87 | 7.3% |
| new | 84 | 7.0% |
| zealand | 84 | 7.0% |
| Other values (3) | 229 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1449 | |
| n | 861 | 10.0% |
| i | 545 | 6.3% |
| l | 491 | 5.7% |
| t | 479 | 5.6% |
| s | 460 | 5.4% |
| e | 454 | 5.3% |
| d | 448 | 5.2% |
| r | 414 | 4.8% |
| h | 372 | 4.3% |
| Other values (17) | 2619 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 8592 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 1449 | |
| n | 861 | 10.0% |
| i | 545 | 6.3% |
| l | 491 | 5.7% |
| t | 479 | 5.6% |
| s | 460 | 5.4% |
| e | 454 | 5.3% |
| d | 448 | 5.2% |
| r | 414 | 4.8% |
| h | 372 | 4.3% |
| Other values (17) | 2619 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 8592 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 1449 | |
| n | 861 | 10.0% |
| i | 545 | 6.3% |
| l | 491 | 5.7% |
| t | 479 | 5.6% |
| s | 460 | 5.4% |
| e | 454 | 5.3% |
| d | 448 | 5.2% |
| r | 414 | 4.8% |
| h | 372 | 4.3% |
| Other values (17) | 2619 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 8592 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 1449 | |
| n | 861 | 10.0% |
| i | 545 | 6.3% |
| l | 491 | 5.7% |
| t | 479 | 5.6% |
| s | 460 | 5.4% |
| e | 454 | 5.3% |
| d | 448 | 5.2% |
| r | 414 | 4.8% |
| h | 372 | 4.3% |
| Other values (17) | 2619 |
Batsman_Name
Text
| Distinct | 146 |
|---|---|
| Distinct (%) | 15.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 63.3 KiB |
Length
| Max length | 22 |
|---|---|
| Median length | 19 |
| Mean length | 13.629913 |
| Min length | 8 |
Characters and Unicode
| Total characters | 12485 |
|---|---|
| Distinct characters | 54 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 11 ? |
|---|---|
| Unique (%) | 1.2% |
Sample
| 1st row | Jonny Bairstow |
|---|---|
| 2nd row | Dawid Malan |
| 3rd row | Joe Root |
| 4th row | Harry Brook |
| 5th row | Moeen Ali |
| Value | Count | Frequency (%) |
| mitchell | 38 | 2.0% |
| van | 36 | 1.9% |
| hasan | 33 | 1.7% |
| david | 31 | 1.6% |
| de | 28 | 1.4% |
| mohammad | 20 | 1.0% |
| glenn | 20 | 1.0% |
| der | 20 | 1.0% |
| josh | 16 | 0.8% |
| kusal | 16 | 0.8% |
| Other values (258) | 1679 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1729 | 13.8% |
| 1021 | 8.2% | |
| e | 794 | 6.4% |
| i | 732 | 5.9% |
| n | 730 | 5.8% |
| h | 684 | 5.5% |
| r | 616 | 4.9% |
| l | 553 | 4.4% |
| s | 509 | 4.1% |
| m | 426 | 3.4% |
| Other values (44) | 4691 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 12485 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 1729 | 13.8% |
| 1021 | 8.2% | |
| e | 794 | 6.4% |
| i | 732 | 5.9% |
| n | 730 | 5.8% |
| h | 684 | 5.5% |
| r | 616 | 4.9% |
| l | 553 | 4.4% |
| s | 509 | 4.1% |
| m | 426 | 3.4% |
| Other values (44) | 4691 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 12485 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 1729 | 13.8% |
| 1021 | 8.2% | |
| e | 794 | 6.4% |
| i | 732 | 5.9% |
| n | 730 | 5.8% |
| h | 684 | 5.5% |
| r | 616 | 4.9% |
| l | 553 | 4.4% |
| s | 509 | 4.1% |
| m | 426 | 3.4% |
| Other values (44) | 4691 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 12485 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 1729 | 13.8% |
| 1021 | 8.2% | |
| e | 794 | 6.4% |
| i | 732 | 5.9% |
| n | 730 | 5.8% |
| h | 684 | 5.5% |
| r | 616 | 4.9% |
| l | 553 | 4.4% |
| s | 509 | 4.1% |
| m | 426 | 3.4% |
| Other values (44) | 4691 |
Batting_Position
Real number (ℝ)
| Distinct | 11 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.3984716 |
| Minimum | 1 |
|---|---|
| Maximum | 11 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 11 |
| Maximum | 11 |
| Range | 10 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.0359518 |
|---|---|
| Coefficient of variation (CV) | 0.56237246 |
| Kurtosis | -1.0799941 |
| Mean | 5.3984716 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.23224721 |
| Sum | 4945 |
| Variance | 9.2170031 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1 | 100 | |
| 2 | 100 | |
| 3 | 100 | |
| 4 | 98 | |
| 5 | 94 | |
| 6 | 88 | |
| 7 | 81 | |
| 8 | 73 | |
| 9 | 69 | |
| 10 | 60 |
| Value | Count | Frequency (%) |
| 1 | 100 | |
| 2 | 100 | |
| 3 | 100 | |
| 4 | 98 | |
| 5 | 94 | |
| 6 | 88 | |
| 7 | 81 | |
| 8 | 73 | |
| 9 | 69 | |
| 10 | 60 |
| Value | Count | Frequency (%) |
| 11 | 53 | |
| 10 | 60 | |
| 9 | 69 | |
| 8 | 73 | |
| 7 | 81 | |
| 6 | 88 | |
| 5 | 94 | |
| 4 | 98 | |
| 3 | 100 | |
| 2 | 100 |
Dismissal
Text
| Distinct | 469 |
|---|---|
| Distinct (%) | 51.3% |
| Missing | 2 |
| Missing (%) | 0.2% |
| Memory size | 72.1 KiB |
Length
| Max length | 49 |
|---|---|
| Median length | 40 |
| Mean length | 23.577681 |
| Min length | 7 |
Characters and Unicode
| Total characters | 21550 |
|---|---|
| Distinct characters | 57 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 301 ? |
|---|---|
| Unique (%) | 32.9% |
Sample
| 1st row | c Daryl Mitchell b Mitchell Santner |
|---|---|
| 2nd row | c Tom Latham b Matt Henry |
| 3rd row | b Glenn Phillips |
| 4th row | c Devon Conway b Rachin Ravindra |
| 5th row | b Glenn Phillips |
| Value | Count | Frequency (%) |
| b | 723 | 16.6% |
| c | 484 | 11.1% |
| out | 190 | 4.4% |
| not | 146 | 3.4% |
| lbw | 79 | 1.8% |
| mitchell | 61 | 1.4% |
| hasan | 48 | 1.1% |
| de | 48 | 1.1% |
| run | 44 | 1.0% |
| van | 43 | 1.0% |
| Other values (283) | 2484 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3436 | ||
| a | 2236 | 10.4% |
| e | 1191 | 5.5% |
| n | 1105 | 5.1% |
| i | 977 | 4.5% |
| b | 961 | 4.5% |
| o | 944 | 4.4% |
| t | 883 | 4.1% |
| h | 854 | 4.0% |
| r | 794 | 3.7% |
| Other values (47) | 8169 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 21550 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3436 | ||
| a | 2236 | 10.4% |
| e | 1191 | 5.5% |
| n | 1105 | 5.1% |
| i | 977 | 4.5% |
| b | 961 | 4.5% |
| o | 944 | 4.4% |
| t | 883 | 4.1% |
| h | 854 | 4.0% |
| r | 794 | 3.7% |
| Other values (47) | 8169 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 21550 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3436 | ||
| a | 2236 | 10.4% |
| e | 1191 | 5.5% |
| n | 1105 | 5.1% |
| i | 977 | 4.5% |
| b | 961 | 4.5% |
| o | 944 | 4.4% |
| t | 883 | 4.1% |
| h | 854 | 4.0% |
| r | 794 | 3.7% |
| Other values (47) | 8169 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 21550 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3436 | ||
| a | 2236 | 10.4% |
| e | 1191 | 5.5% |
| n | 1105 | 5.1% |
| i | 977 | 4.5% |
| b | 961 | 4.5% |
| o | 944 | 4.4% |
| t | 883 | 4.1% |
| h | 854 | 4.0% |
| r | 794 | 3.7% |
| Other values (47) | 8169 |
Runs
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 124 |
|---|---|
| Distinct (%) | 13.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.510917 |
| Minimum | 0 |
|---|---|
| Maximum | 201 |
| Zeros | 83 |
| Zeros (%) | 9.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 5 |
| median | 15 |
| Q3 | 38 |
| 95-th percentile | 92.75 |
| Maximum | 201 |
| Range | 201 |
| Interquartile range (IQR) | 33 |
Descriptive statistics
| Standard deviation | 30.788666 |
|---|---|
| Coefficient of variation (CV) | 1.161358 |
| Kurtosis | 4.0220039 |
| Mean | 26.510917 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 1.8807896 |
| Sum | 24284 |
| Variance | 947.94196 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 83 | 9.1% |
| 1 | 46 | 5.0% |
| 4 | 37 | 4.0% |
| 2 | 36 | 3.9% |
| 10 | 29 | 3.2% |
| 9 | 28 | 3.1% |
| 5 | 26 | 2.8% |
| 12 | 23 | 2.5% |
| 11 | 23 | 2.5% |
| 6 | 22 | 2.4% |
| Other values (114) | 563 |
| Value | Count | Frequency (%) |
| 0 | 83 | |
| 1 | 46 | |
| 2 | 36 | |
| 3 | 20 | 2.2% |
| 4 | 37 | |
| 5 | 26 | 2.8% |
| 6 | 22 | 2.4% |
| 7 | 21 | 2.3% |
| 8 | 19 | 2.1% |
| 9 | 28 | 3.1% |
| Value | Count | Frequency (%) |
| 201 | 1 | |
| 177 | 1 | |
| 174 | 1 | |
| 163 | 1 | |
| 152 | 1 | |
| 140 | 1 | |
| 137 | 1 | |
| 134 | 1 | |
| 133 | 1 | |
| 131 | 2 |
Balls
Real number (ℝ)
HIGH CORRELATION
| Distinct | 118 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.021834 |
| Minimum | 0 |
|---|---|
| Maximum | 143 |
| Zeros | 6 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 8 |
| median | 19 |
| Q3 | 40.25 |
| 95-th percentile | 90.25 |
| Maximum | 143 |
| Range | 143 |
| Interquartile range (IQR) | 32.25 |
Descriptive statistics
| Standard deviation | 28.493381 |
|---|---|
| Coefficient of variation (CV) | 0.98179118 |
| Kurtosis | 1.6740675 |
| Mean | 29.021834 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 1.4487886 |
| Sum | 26584 |
| Variance | 811.87275 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 47 | 5.1% |
| 3 | 31 | 3.4% |
| 4 | 31 | 3.4% |
| 6 | 28 | 3.1% |
| 2 | 27 | 2.9% |
| 7 | 26 | 2.8% |
| 8 | 26 | 2.8% |
| 5 | 25 | 2.7% |
| 17 | 24 | 2.6% |
| 13 | 23 | 2.5% |
| Other values (108) | 628 |
| Value | Count | Frequency (%) |
| 0 | 6 | 0.7% |
| 1 | 47 | |
| 2 | 27 | |
| 3 | 31 | |
| 4 | 31 | |
| 5 | 25 | |
| 6 | 28 | |
| 7 | 26 | |
| 8 | 26 | |
| 9 | 20 |
| Value | Count | Frequency (%) |
| 143 | 1 | 0.1% |
| 140 | 1 | 0.1% |
| 132 | 1 | 0.1% |
| 128 | 1 | 0.1% |
| 127 | 1 | 0.1% |
| 124 | 1 | 0.1% |
| 121 | 3 | |
| 120 | 1 | 0.1% |
| 119 | 1 | 0.1% |
| 118 | 1 | 0.1% |
4s
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 20 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.5338428 |
| Minimum | 0 |
|---|---|
| Maximum | 21 |
| Zeros | 287 |
| Zeros (%) | 31.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 9 |
| Maximum | 21 |
| Range | 21 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.1191198 |
|---|---|
| Coefficient of variation (CV) | 1.2309839 |
| Kurtosis | 4.3896219 |
| Mean | 2.5338428 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.8823944 |
| Sum | 2321 |
| Variance | 9.7289081 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 0 | 287 | |
| 1 | 177 | |
| 2 | 125 | |
| 3 | 89 | 9.7% |
| 4 | 66 | 7.2% |
| 6 | 37 | 4.0% |
| 5 | 31 | 3.4% |
| 7 | 25 | 2.7% |
| 8 | 24 | 2.6% |
| 9 | 18 | 2.0% |
| Other values (10) | 37 | 4.0% |
| Value | Count | Frequency (%) |
| 0 | 287 | |
| 1 | 177 | |
| 2 | 125 | |
| 3 | 89 | 9.7% |
| 4 | 66 | 7.2% |
| 5 | 31 | 3.4% |
| 6 | 37 | 4.0% |
| 7 | 25 | 2.7% |
| 8 | 24 | 2.6% |
| 9 | 18 | 2.0% |
| Value | Count | Frequency (%) |
| 21 | 1 | 0.1% |
| 19 | 1 | 0.1% |
| 17 | 1 | 0.1% |
| 16 | 2 | 0.2% |
| 15 | 3 | 0.3% |
| 14 | 3 | 0.3% |
| 13 | 1 | 0.1% |
| 12 | 5 | |
| 11 | 8 | |
| 10 | 12 |
6s
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 12 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.72707424 |
| Minimum | 0 |
|---|---|
| Maximum | 11 |
| Zeros | 616 |
| Zeros (%) | 67.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.4820487 |
|---|---|
| Coefficient of variation (CV) | 2.0383733 |
| Kurtosis | 11.394731 |
| Mean | 0.72707424 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.0639152 |
| Sum | 666 |
| Variance | 2.1964684 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 154 | 16.8% |
| 2 | 62 | 6.8% |
| 3 | 31 | 3.4% |
| 4 | 20 | 2.2% |
| 5 | 13 | 1.4% |
| 6 | 7 | 0.8% |
| 8 | 4 | 0.4% |
| 7 | 4 | 0.4% |
| 9 | 3 | 0.3% |
| Other values (2) | 2 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 616 | |
| 1 | 154 | 16.8% |
| 2 | 62 | 6.8% |
| 3 | 31 | 3.4% |
| 4 | 20 | 2.2% |
| 5 | 13 | 1.4% |
| 6 | 7 | 0.8% |
| 7 | 4 | 0.4% |
| 8 | 4 | 0.4% |
| 9 | 3 | 0.3% |
| Value | Count | Frequency (%) |
| 11 | 1 | 0.1% |
| 10 | 1 | 0.1% |
| 9 | 3 | 0.3% |
| 8 | 4 | 0.4% |
| 7 | 4 | 0.4% |
| 6 | 7 | 0.8% |
| 5 | 13 | 1.4% |
| 4 | 20 | 2.2% |
| 3 | 31 | |
| 2 | 62 |
Strike_Rate
Text
| Distinct | 494 |
|---|---|
| Distinct (%) | 53.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.7 KiB |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 6.2150655 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5693 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 365 ? |
|---|---|
| Unique (%) | 39.8% |
Sample
| 1st row | 94.300 |
|---|---|
| 2nd row | 58.300 |
| 3rd row | 89.500 |
| 4th row | 156.300 |
| 5th row | 64.700 |
| Value | Count | Frequency (%) |
| 0.000 | 77 | 8.4% |
| 100.000 | 43 | 4.7% |
| 50.000 | 27 | 2.9% |
| 80.000 | 14 | 1.5% |
| 66.667 | 10 | 1.1% |
| 133.333 | 10 | 1.1% |
| 60.000 | 10 | 1.1% |
| 200.000 | 10 | 1.1% |
| 25.000 | 9 | 1.0% |
| 20.000 | 9 | 1.0% |
| Other values (484) | 697 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1720 | |
| . | 910 | |
| 1 | 542 | 9.5% |
| 3 | 406 | 7.1% |
| 6 | 349 | 6.1% |
| 5 | 344 | 6.0% |
| 7 | 342 | 6.0% |
| 8 | 321 | 5.6% |
| 2 | 287 | 5.0% |
| 4 | 257 | 4.5% |
| Other values (2) | 215 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5693 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1720 | |
| . | 910 | |
| 1 | 542 | 9.5% |
| 3 | 406 | 7.1% |
| 6 | 349 | 6.1% |
| 5 | 344 | 6.0% |
| 7 | 342 | 6.0% |
| 8 | 321 | 5.6% |
| 2 | 287 | 5.0% |
| 4 | 257 | 4.5% |
| Other values (2) | 215 | 3.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5693 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1720 | |
| . | 910 | |
| 1 | 542 | 9.5% |
| 3 | 406 | 7.1% |
| 6 | 349 | 6.1% |
| 5 | 344 | 6.0% |
| 7 | 342 | 6.0% |
| 8 | 321 | 5.6% |
| 2 | 287 | 5.0% |
| 4 | 257 | 4.5% |
| Other values (2) | 215 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5693 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1720 | |
| . | 910 | |
| 1 | 542 | 9.5% |
| 3 | 406 | 7.1% |
| 6 | 349 | 6.1% |
| 5 | 344 | 6.0% |
| 7 | 342 | 6.0% |
| 8 | 321 | 5.6% |
| 2 | 287 | 5.0% |
| 4 | 257 | 4.5% |
| Other values (2) | 215 | 3.8% |
| 4s | 6s | Balls | Batting_Position | Match_Between | Match_no | Runs | Team_Innings | |
|---|---|---|---|---|---|---|---|---|
| 4s | 1.000 | 0.454 | 0.809 | -0.439 | 0.095 | -0.006 | 0.891 | 0.049 |
| 6s | 0.454 | 1.000 | 0.491 | -0.161 | 0.092 | 0.002 | 0.636 | 0.064 |
| Balls | 0.809 | 0.491 | 1.000 | -0.408 | 0.064 | -0.013 | 0.924 | 0.027 |
| Batting_Position | -0.439 | -0.161 | -0.408 | 1.000 | 0.000 | -0.005 | -0.378 | 0.000 |
| Match_Between | 0.095 | 0.092 | 0.064 | 0.000 | 1.000 | 0.959 | 0.085 | 0.654 |
| Match_no | -0.006 | 0.002 | -0.013 | -0.005 | 0.959 | 1.000 | -0.006 | 0.150 |
| Runs | 0.891 | 0.636 | 0.924 | -0.378 | 0.085 | -0.006 | 1.000 | 0.063 |
| Team_Innings | 0.049 | 0.064 | 0.027 | 0.000 | 0.654 | 0.150 | 0.063 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Match_no | Match_Between | Team_Innings | Batsman_Name | Batting_Position | Dismissal | Runs | Balls | 4s | 6s | Strike_Rate | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | England vs New Zealand | England | Jonny Bairstow | 1 | c Daryl Mitchell b Mitchell Santner | 33 | 35 | 4 | 1 | 94.300 |
| 1 | 1 | England vs New Zealand | England | Dawid Malan | 2 | c Tom Latham b Matt Henry | 14 | 24 | 2 | 0 | 58.300 |
| 2 | 1 | England vs New Zealand | England | Joe Root | 3 | b Glenn Phillips | 77 | 86 | 4 | 1 | 89.500 |
| 3 | 1 | England vs New Zealand | England | Harry Brook | 4 | c Devon Conway b Rachin Ravindra | 25 | 16 | 4 | 1 | 156.300 |
| 4 | 1 | England vs New Zealand | England | Moeen Ali | 5 | b Glenn Phillips | 11 | 17 | 1 | 0 | 64.700 |
| 5 | 1 | England vs New Zealand | England | Jos Buttler | 6 | c Tom Latham b Matt Henry | 43 | 42 | 2 | 2 | 102.400 |
| 6 | 1 | England vs New Zealand | England | Liam Livingstone | 7 | c Matt Henry b Trent Boult | 20 | 22 | 3 | 0 | 90.900 |
| 7 | 1 | England vs New Zealand | England | Sam Curran | 8 | c Tom Latham b Matt Henry | 14 | 19 | 0 | 0 | 73.700 |
| 8 | 1 | England vs New Zealand | England | Chris Woakes | 9 | c Will Young b Mitchell Santner | 11 | 12 | 1 | 0 | 91.700 |
| 9 | 1 | England vs New Zealand | England | Adil Rashid | 10 | not out | 15 | 13 | 0 | 1 | 115.400 |
| Match_no | Match_Between | Team_Innings | Batsman_Name | Batting_Position | Dismissal | Runs | Balls | 4s | 6s | Strike_Rate | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 906 | 48 | India vs Australia | India | Mohammed Shami | 8 | c Josh Inglis b Mitchell Starc | 6 | 10 | 1 | 0 | 60.000 |
| 907 | 48 | India vs Australia | India | Jasprit Bumrah | 9 | lbw b Adam Zampa | 1 | 3 | 0 | 0 | 33.333 |
| 908 | 48 | India vs Australia | India | Kuldeep Yadav | 10 | run out (Marnus Labuschagne/Pat Cummins) | 10 | 18 | 0 | 0 | 55.556 |
| 909 | 48 | India vs Australia | India | Mohammed Siraj | 11 | not out | 9 | 8 | 1 | 0 | 112.500 |
| 910 | 48 | India vs Australia | Australia | David Warner | 1 | c Virat Kohli b Mohammed Shami | 7 | 3 | 1 | 0 | 233.333 |
| 911 | 48 | India vs Australia | Australia | Travis Head | 2 | c Shubman Gill b Mohammed Siraj | 137 | 120 | 15 | 4 | 114.167 |
| 912 | 48 | India vs Australia | Australia | Mitchell Marsh | 3 | c KL Rahul b Jasprit Bumrah | 15 | 15 | 1 | 1 | 100.000 |
| 913 | 48 | India vs Australia | Australia | Steve Smith | 4 | lbw b Jasprit Bumrah | 4 | 9 | 1 | 0 | 44.444 |
| 914 | 48 | India vs Australia | Australia | Marnus Labuschagne | 5 | not out | 58 | 110 | 4 | 0 | 52.727 |
| 915 | 48 | India vs Australia | Australia | Glenn Maxwell | 6 | not out | 2 | 1 | 0 | 0 | 200.000 |